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所在平台: Udemy |
课程主页: https://www.udemy.com/course/istqb-ai-tester-sample-exams/
课程评论：没有评论
**课程名称：** ISTQB 人工智能测试员模拟考试 **课程概述：** 本课程旨在帮助学员顺利通过 ISTQB 人工智能测试员认证考试。课程团队拥有丰富的 ISTQB 认证辅导经验，精心设计了覆盖考纲重点的模拟试题。 **课程特色：** * **分章节练习：** 模拟考试根据考纲章节进行划分，方便学员学完对应章节后进行知识点巩固和自测。 * **词汇专项训练：** 包含两套针对 ISTQB AI 测试词汇的专项模拟考试，帮助学员全面掌握考纲中的专业术语和概念。 **目标受众：** * 希望深入了解人工智能（AI）及深度（机器学习）学习，特别是 AI 系统测试和利用 AI 进行测试的人员。 **先决条件：** * 持有 ISTQB 认证测试员基础级别（CTFL）证书。 **学习成果：** * 理解 AI 的现状及发展趋势。 * 体验机器学习模型的实现与测试，并识别测试人员如何有效提升其质量。 * 掌握 AI 系统测试的挑战，包括自学习能力、偏见、伦理、复杂性、非确定性、透明度和可解释性。 * 为 AI 系统制定测试策略。 * 设计和执行 AI 系统测试用例。 * 了解支持 AI 系统测试的测试基础设施的特殊要求。 * 掌握如何利用 AI 辅助软件测试。
How will these sample exams help you in passing the Certified Artificial Intelligence exam?-My and my team at Nezam helped many students in passing different ISTQB certificates. We have wide experience that enabled us to create sample questions that cover the mostly important points in the syllabus. This will help you test your knowledge before applying for the real exam and be able to pass it from the first attempt.-What is special about these sample exams is that they are divided based on the chapters. So you can study the first 4 chapters and solve the first sample exam, then study chapters 5 to 7 and solve the second sample exam, then study chapter 8 to 11 and solve the third exam. Also there are two separate sample exams that test your knowledge about the ISTQB AI Tester glossary. They will help you in absorbing all concepts mentioned in the syllabus.AudienceThe Certified Tester AI Testing (CT-AI) qualification is aimed at people who are seeking to extend their understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI based systems and using AI to test.What are the entry criteria?To achieve the CT-AI certification, candidates must hold the ISTQB® Certified Tester Foundation Level (CTFL) certificateBusiness OutcomesIndividuals who hold the ISTQB® Certified Tester- AI Testing certification should be able to accomplish the following business outcomes:Understand the current state and expected trends of AIExperience the implementation and testing of a ML model and recognize where testers can best influence its qualityUnderstand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency and explainabilityContribute to the test strategy for an AI-Based systemDesign and execute test cases for AI-based systemsRecognize the special requirements for the test infrastructure to support the testing of AI-based systemsUnderstand how AI can be used to support software testing
